Data Science: Business Information Systems

Data Science: Business Information Systems

Bachelor of Science in Data Science: Business Information Systems Concentration

Top 5 Reasons to Study

01

Gain the knowledge, skills, and confidence to lead digital transformation initiatives that redesign business structures, processes, and strategies to incorporate AI and leverage data from online operations, sensors, and emerging digital platforms.

02

Learn to capture and structure enterprise data from diverse sources (transactional systems, customer interactions, supply chain sensors, social media, and operational processes) translating raw business activity into actionable digital assets.

03

Learn to extract competitive insights from business data to inform strategy, optimize operations, predict market trends, understand customer behavior, identify new revenue opportunities, and make data-driven decisions.

04

Build recommendation engines, predictive analytics platforms, automated workflow solutions, and AI-driven tools that enhance business processes and decision-making.

05

Gain the ability to transform organizational performance by improving operational efficiency, enabling real-time business intelligence, personalizing customer experiences, and positioning companies to compete effectively.

Core
Skills

  • Apply data from business information systems to meet business challenges.
  • Create dashboards and information systems to help businesses grow and compete.
  • Optimize the data businesses collect to train AI systems that improve efficiency and profitability.

Sample
Jobs

  • Data Analyst / Data Engineer
  • Chief Information Officer
  • Information Security Analyst
  • Quality Info Systems Manager
  • App Developer

Successful Career Outcomes

$103,500 Median Annual Salary
35% 10 Year Growth Expected

Top
Employment
Industries

  • Corporate Enterprise (Digital Transformation): Redesigning structures and strategies to incorporate AI
  • Supply Chain and Operations: Capturing data from sensors and optimizing operational processes
  • Retail and E-commerce: Utilizing customer interaction data and predictive market trends
  • Business Strategy and Consulting: Informing strategy and identifying new revenue opportunities
  • IoT and Technology: Leveraging data from connected devices and emerging digital platforms

Brag
Points

  • Study with the best: data science majors at MSU have a median ACT score of 29
  • Our students have access to Ptolemy, a 64 GPU NVDIA system dedicated to academic use
  • 38% of our Data Science students participate in the Shackouls Honors College

Experiential Learning Opportunities

You will gain skills and expertise in a range of analytic modeling techniques and tools and apply these skills to meaningful projects, with potential opportunities for independent research and for experiential learning projects with local companies.

Business Information Systems (BIS) Club: A professional student organization that organizes facility tours to observe real-world Information Systems operations, hosts industry speakers, and provides networking opportunities with employers.

Center for Entrepreneurship and Outreach (E-Center): Use their "Factory" makerspace or join their venture planning programs to apply business data strategies to real startup ideas.

Data Science Academic Institute: Our undergraduate researchers work on faculty projects in diverse subject areas, often involving business or administrative data.

You'll take five hands-on labs that use real data. This builds career-relevant experiential learning directly into your coursework.

Data Science: Business Information Systems

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Bachelor of Science in Data Science: Business Information Systems Concentration

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